Evidence map›Paper›PMID 28001351›Full record

ArticleACS chemical biology2017

Proteoform-Specific Protein Binding of Small Molecules in Complex Matrices.

Geuncheol Gil, Pan Mao, Bharathi Avula, Zulfiqar Ali, Amar G Chittiboyina, Ikhlas A Khan, Larry A Walker, Daojing Wang

Abstract read
In one paragraph

Article in ACS chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Geuncheol GilNewomics Inc. , Emeryville, California 94608, United States.
Pan MaoNewomics Inc. , Emeryville, California 94608, United States.
Bharathi Avula
Zulfiqar Ali
Amar G Chittiboyina
Ikhlas A Khan
Larry A Walker
Daojing WangNewomics Inc. , Emeryville, California 94608, United States.ORCID 0000-0002-4542-5067
Newomics (United States) · US

Funding

Senescence-Chips for Radiation BiodosimetryR44AI106100 · NIAID · NEWOMICS, INC · PI WANG, DAOJING · 2019 to 2021
$3.0M
Picoelectrospray Ionization Mass Spectrometry for Top-down ProteomicsR44GM109682 · NIGMS · NEWOMICS, INC · PI WANG, DAOJING · 2022 to 2023
$1.7M
Omics-Based Assays for Screening Chemical Toxicity Using Stem CellsR44ES023529 · NIEHS · NEWOMICS, INC · PI WANG, DAOJING · 2016 to 2017
$1.5M
Ultrahigh-throughput Identification of Molecular Targets of Natural ProductsR44AT008297 · NCCIH · NEWOMICS, INC · PI WANG, DAOJING · 2016 to 2017
$1.5M
AD-MS Chips for Biofluids-Based Diagnosis of Alzheimer's DiseaseR44AG046025 · NIA · NEWOMICS, INC · PI WANG, DAOJING · 2018 to 2019
$1.5M
Microfluidic Chips for BiomonitoringR44ES022360 · NIEHS · NEWOMICS, INC · PI WANG, DAOJING · 2015 to 2016
$1.5M
AD-MS Chips for Biofluids-Based Diagnosis of Alzheimer's DiseaseR43AG046025 · NIA · NEWOMICS, INC · PI WANG, DAOJING · 2014 to 2015
$700k
Picoelectrospray Ionization Mass Spectrometry for Top-down ProteomicsR43GM109682 · NIGMS · NEWOMICS, INC · PI WANG, DAOJING · 2014 to 2015
$683k
Senescence-Chips for Radiation BiodosimetryR43AI106100 · NIAID · NEWOMICS, INC · PI WANG, DAOJING · 2014 to 2015
$600k
Microfluidic Chips for BiomonitoringR43ES022360 · NIEHS · NEWOMICS, INC · PI MAO, PAN · 2012 to 2012
$250k
Ultrahigh-throughput Identification of Molecular Targets of Natural ProductsR43AT008297 · NCCIH · NEWOMICS, INC · PI WANG, DAOJING · 2014 to 2014
$225k
Omics-Based Assays for Screening Chemical Toxicity Using Stem CellsR43ES023529 · NIEHS · NEWOMICS, INC · PI WANG, DAOJING · 2013 to 2013
$225k
NCCIH NIH HHS R43 AT008297NCCIH NIH HHS R44 AT008297NCI NIH HHS HHSN261201300033CNIAID NIH HHS R43 AI106100NIAID NIH HHS R44 AI106100NIA NIH HHS R43 AG046025NIA NIH HHS R44 AG046025NIEHS NIH HHS R43 ES022360NIEHS NIH HHS R43 ES023529NIEHS NIH HHS R44 ES022360NIEHS NIH HHS R44 ES023529NIGMS NIH HHS R43 GM109682NIGMS NIH HHS R44 GM109682
6 · The paper itself

Abstract

Characterizing the specific binding between protein targets and small molecules is critically important for drug discovery. Conventional assays require isolation and purification of small molecules from complex matrices through multistep chromatographic fractionation, which may alter their original bioactivity. Most proteins undergo posttranslational modification, and only certain proteoforms have the right conformation with accessible domains and available residues for small molecule binding. We developed a top-down mass spectrometry (MS) centric workflow for rapid evaluation of the bioactivity of crude botanical extracts after a one-step reaction. Our assay distinguished covalent from noncovalent binding and mapped the residue for covalent binding between bioactive constituents and specific proteoforms of the target protein. We augmented our approach with a nanoflow liquid chromatography-selected reaction monitoring (SRM)-MS assay for simultaneous identification and label-free multiplex quantitation of small molecules in the crude botanical extracts. Our assay was validated for various proteoforms of human serum albumin, which plays a key role in pharmacokinetics of small molecules in vivo. We demonstrated the utility of our proteoform-specific assay for evaluating thymoquinone in crude botanical extracts, studying its pharmacokinetics in human blood, and interpreting its toxicity to human breast cancer cells in tissue culture.

Indexed as

Biological ProductsSmall Molecule LibrariesCell Line, TumorChromatography, LiquidDrug DiscoveryHumansMonardaProtein BindingProteinsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryBiological ProductsProteinsSmall Molecule Libraries

Identifiers

PMID28001351
PMCPMC5315634
OpenAlexW2566952819

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.